Ute Pohl

TL;DR: This work presents a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and shows that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods.

TL;DR: It is suggested that class prediction models, based on defined molecular profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than does standard pathology.

TL;DR: It is shown that a subset of histologically defined anaplastic pilocytic astrocytomas forms a separate DNA methylation cluster, harbors recurrent alterations in MAPK pathway genes in combination with alterations of CDKN2A/B and ATRX, affects patients who are on average older than those diagnosed with PA and has an intermediate clinical outcome.

TL;DR: This work has used cDNA selection, exon amplification, and genomic sequencing to identify three novel transcripts (EHD2, GLTSCR1, andGLTSCR2) and to map two known genes (SEPW1 and CRX) in the 1.6-Mb interval D19S241E-D19S596.

TL;DR: Three novel genes, designated EHD2, EHD3, and EHD4, which are homologous to the recently characterized human EHD1 and its mouse homolog Ehd1, represent novel members of a family of human EH domain-containing proteins that may play a role in endocytosis and signaling.